Clinical Research Papers:
Detection of high mobility group A2 specific mRNA in the plasma of patients affected by epithelial ovarian cancer
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Francesca Galdiero1,*, Annunciata Romano1,*, Rosa Pasquinelli1, Sandro Pignata2, Stefano Greggi2, Emilia Vuttariello1, Anna Maria Bello1, Celeste Calise1, Cono Scaffa2, Carmela Pisano2, Nunzia Simona Losito3, Alfredo Fusco4, Daniela Califano1, Gennaro Chiappetta1
1Genomica Funzionale, Istituto Nazionale per lo Studio e la Cura dei Tumori “Fondazione Giovanni Pascale”, IRCCS, Naples, Italy
2Dipartimento di Oncologia Uroginecologica, Istituto Nazionale per lo Studio e la Cura dei Tumori “Fondazione Giovanni Pascale”, IRCCS, Naples, Italy
3Anatomia Patologica, Istituto Nazionale per lo Studio e la Cura dei Tumori “Fondazione Giovanni Pascale”, IRCCS, Naples, Italy
4Istituto di Endocrinologia ed Oncologia Sperimentale - CNR Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, Naples, Italy
*These authors have contributed equally to this work
Daniela Califano, e-mail: firstname.lastname@example.org
Keywords: Ovarian Cancer, HMGA2, plasma, circulating RNA
Received: July 25, 2014 Accepted: December 15, 2014 Published: February 12, 2015
Ovarian cancer is the most lethal gynecological malignancy and the high mortality rate is associated with advanced-stage disease at the time of the diagnosis. In order to find new tools to make diagnosis of Epithelial Ovarian Cancer (EOC) at early stages we have analyzed the presence of specific HMGA2 mRNA in the plasma of patients affected by this neoplasm. HMGA2 overexpression represents a feature of several malignances including ovarian carcinomas. Notably, we detected HMGA2 specific mRNA in the plasma of 40 out 47 patients with EOC, but not in the plasma of healthy donors. All cases found positive for HMGA2 mRNA in the plasma showed HMGA2 protein expression in EOC tissues.
Therefore, on the basis of these results, the analysis of circulating HMGA2 specific mRNA might be considered a very promising tool for the early diagnosis of EOC.
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